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This paper develops a solution for solving large-scale attributes and decision-makers in double large-scale group decision-making problems.
The large-scale attributes and decision makers are classified by linguistic principal component analysis and fuzzy equivalence clustering with linguistic information respectively.
Numerical principal component analysis is extended into linguistic principal component analysis to reduce the dimensions of large-scale attributes under uncertainty situations.
It can decompose the large-scale attribute set into reasonable-scale subsets according to two kinds of the best performance fitness and assignment credit.
In order to further improve the adaptability of attribute reduction and enhance its application performance in large-scale attribute reduction, a more efficient attribute self-adaptive co-evolutionary reduction algorithm by combining quantum elitist frogs and cloud model operators (QECMASCR) is proposed in this paper.
The main reason for poor production quality and quantity in large scale can be attributed to a few reasons related to the nature of spinning solution and limitation in the electrospinning machine.
We also conducted a comparison of the critical differences between signalling from different growth factor receptors (namely EGFR, mutated EGFR, NGF, and Insulin) with our results suggesting the difference between the systems are large scale and can be attributed to the presence/absence of entire pathways rather than subtle difference in individual rate constants between the systems.
Focused beam reflectance measurement (FBRM) is a promising technique for real-time monitoring of critical performance attributes in large scale processes and is ideally suited for dewatering applications.
The position of M. ulcerans also showed variation in different trees and this can also be attributed to large scale horizontal gene transfer and reductive evolution leading to genomic rearrangements and deletions [38].
Therefore, the large scale properties observed in the α profile can be unambiguously attributed to the computationally predicted, isochore-like regions [ 19].
This can be attributed to improved equipment design and higher efficiencies of large scale continuous flow-through systems.
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